pyterrier-quality/qt5-tiny.msmarco-passage-v2.cache

---
# pretty_name: "" # Example: "MS MARCO Terrier Index"
tags:
- pyterrier
- pyterrier-artifact
- pyterrier-artifact.quality_score_cache
- pyterrier-artifact.quality_score_cache.numpy
task_categories:
- text-retrieval
viewer: false
---

# qt5-tiny.msmarco-passage-v2.cache

## Description

*TODO: What is the artifact?*

## Usage

```python
# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('pyterrier-quality/qt5-tiny.msmarco-passage-v2.cache')
# TODO: Show how you use the artifact
```

## Benchmarks

*TODO: Provide benchmarks for the artifact.*

## Reproduction

```python
# TODO: Show how you constructed the artifact.
```

## Metadata

```
{
"type": "quality_score_cache",
"format": "numpy",
"package_hint": "pyterrier-quality",
"count": 138364198
}
```

# 显示名称: "" # 示例："MS MARCO Terrier 索引"
标签:
- pyterrier
- pyterrier-artifact
- pyterrier-artifact.quality_score_cache
- pyterrier-artifact.quality_score_cache.numpy
任务类别:
- 文本检索
预览功能: 禁用
---

# qt5-tiny.msmarco-passage-v2.cache

## 描述
*待补充：该工件（artifact）具体为何物？*

## 使用方法
python
# 加载该工件
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('pyterrier-quality/qt5-tiny.msmarco-passage-v2.cache')
# 待补充：展示该工件的使用方式

## 基准测试
*待补充：提供该工件的基准测试数据。*

## 复现流程
python
# 待补充：展示该工件的构建过程。

## 元数据

{
"类型": "质量得分缓存",
"格式": "numpy",
"包提示": "pyterrier-quality",
"条目数": 138364198
}